Evidence map›Paper›PMID 40002192›Full record

ArticleCancers2025

Risk Assessment Models for Predicting Venous Thromboembolism in Patients with Pancreatic Cancer.

Corinne Frere, Sophie Gourgou, Audrey Winter, Ludovic Gauthier, Cindy Canivet, Benjamin Crichi, Zora Marjanovic, Alexandra Yannoutsos, Okba Bensaoula, Louis Buscail and 3 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. High IntratumoralInternational journal of molecular sciences · 2026
    Pooled it
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Corinne FrereDepartment of Hematology, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, F-75013 Paris, France.ORCID 0000-0001-6303-4732
Sophie GourgouBiometrics Unit, Montpellier Cancer Institute, University of Montpellier, F-34090 Montpellier, France.
Audrey WinterBiometrics Unit, Montpellier Cancer Institute, University of Montpellier, F-34090 Montpellier, France.ORCID 0000-0002-6161-8037
Ludovic GauthierBiometrics Unit, Montpellier Cancer Institute, University of Montpellier, F-34090 Montpellier, France.
Cindy CanivetDepartment of Gastroenterology, Toulouse University Hospital, F-31400 Toulouse, France.
Benjamin CrichiInternal Medicine Unit (04): CRMR MATHEC, Maladies Auto-Immunes et Thérapie Cellulaire, Centre de Référence des Maladies Auto-Immunes Systémiques Rares d'Ile-de-France, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, F-75010 Paris, France.ORCID 0000-0003-4562-766X
Zora MarjanovicDepartment of Hematology, Saint-Antoine Hospital, Assistance Publique-Hôpitaux de Paris, F-75012 Paris, France.
Alexandra YannoutsosDepartment of Vascular Medicine, Hôpital Paris Saint-Joseph, F-75014 Paris, France.
Okba BensaoulaInstitut Curie, F-92210 Saint-Cloud, France.
Louis BuscailDepartment of Gastroenterology, Toulouse University Hospital, F-31400 Toulouse, France.ORCID 0000-0003-4276-1003
Barbara BournetDepartment of Gastroenterology, Toulouse University Hospital, F-31400 Toulouse, France.
Dominique FargeInternal Medicine Unit (04): CRMR MATHEC, Maladies Auto-Immunes et Thérapie Cellulaire, Centre de Référence des Maladies Auto-Immunes Systémiques Rares d'Ile-de-France, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, F-75010 Paris, France.
BACAP Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on the performance of the Khorana, PROTECHT, and ONKOTEV risk assessment models (RAMs) to predict venous thromboembolism (VTE) in patients with pancreatic cancer (PC) receiving outpatient chemotherapy remain limited. We performed a head-to-head comparison of these RAMs in patients with newly diagnosed PC enrolled in the nationwide, multicenter, and prospective BACAP cohort.

methodsThe Khorana, PROTECHT, and ONKOTEV scores were calculated at enrollment prior to chemotherapy. Patients were stratified into intermediate- and high-VTE-risk groups according to each RAM. The primary study outcome was VTE at a 6-month follow-up. The accuracy and discriminatory performance of the scores were assessed by calculating time-dependent Brier scores and c-indexes. Sub-distribution hazard ratios (SHRs) between high- and intermediate-risk patients were estimated.

resultsOf 762 PC patients, 73 developed VTE within 6 months. In the competing risk analysis, the cumulative incidence of VTE at 6 months was 16.4% (95% CI, 13.8-19.1). The time-dependent Brier score was 0.14 (95% CI, 0.12-0.15) for all scores, indicating well-calibrated predictions. The respective time-dependent c-index of the Khorana, the PROTECHT, and the ONKOTEV scores was 0.50 (95% CI, 0.46-0.55), 0.50 (95% CI, 0.49-0.51), and 0.53 (95% CI, 0.48-0.58), indicating poor discrimination. The SHRs between high- and intermediate-risk patients ranged from 1.05 (95% CI, 0.76-1.44) for the ONKOTEV score to 1.06 (95% CI, 0.77-1.45) for the Khorana score.

conclusionIn newly diagnosed PC patients receiving outpatient chemotherapy, the Khorana, PROTECHT, and ONKOTEV scores demonstrated a poor performance in predicting VTE at 6 months, highlighting the need for new tools to guide thromboprophylaxis decisions.

Indexed as

pancreatic cancerrisk assessment modelvenous thromboembolism

Identifiers

PMID40002192
PMCPMC11853169

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.